R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(2150
+ ,2
+ ,595
+ ,118.2
+ ,2533
+ ,2
+ ,591
+ ,117
+ ,2058
+ ,2
+ ,589
+ ,115.3
+ ,2160
+ ,2
+ ,584
+ ,116.5
+ ,2260
+ ,2
+ ,573
+ ,123.9
+ ,2498
+ ,2
+ ,567
+ ,121.2
+ ,2695
+ ,2
+ ,569
+ ,123.1
+ ,2799
+ ,2
+ ,621
+ ,124.4
+ ,2947
+ ,2
+ ,629
+ ,113.2
+ ,2930
+ ,2
+ ,628
+ ,119.2
+ ,2318
+ ,2
+ ,612
+ ,116
+ ,2540
+ ,2
+ ,595
+ ,121
+ ,2570
+ ,2
+ ,597
+ ,120.2
+ ,2669
+ ,2
+ ,593
+ ,90.9
+ ,2450
+ ,2
+ ,590
+ ,115.2
+ ,2842
+ ,2.21
+ ,580
+ ,117.9
+ ,3440
+ ,2.25
+ ,574
+ ,113.6
+ ,2678
+ ,2.25
+ ,573
+ ,122.7
+ ,2981
+ ,2.45
+ ,573
+ ,124.3
+ ,2260
+ ,2.5
+ ,620
+ ,110.6
+ ,2844
+ ,2.5
+ ,626
+ ,144.2
+ ,2546
+ ,2.64
+ ,620
+ ,121.5
+ ,2456
+ ,2.75
+ ,588
+ ,114.7
+ ,2295
+ ,2.93
+ ,566
+ ,119.7
+ ,2379
+ ,3
+ ,557
+ ,122.9
+ ,2479
+ ,3.17
+ ,561
+ ,120.3
+ ,2057
+ ,3.25
+ ,549
+ ,128.2
+ ,2280
+ ,3.39
+ ,532
+ ,115.4
+ ,2351
+ ,3.5
+ ,526
+ ,125
+ ,2276
+ ,3.5
+ ,511
+ ,117.7
+ ,2548
+ ,3.65
+ ,499
+ ,119.2
+ ,2311
+ ,3.75
+ ,555
+ ,118.4
+ ,2201
+ ,3.75
+ ,565
+ ,123.6
+ ,2725
+ ,3.9
+ ,542
+ ,125.6
+ ,2408
+ ,4
+ ,527
+ ,123.2
+ ,2139
+ ,4
+ ,510
+ ,119.6
+ ,1898
+ ,4
+ ,514
+ ,116.7
+ ,2537
+ ,4
+ ,517
+ ,119.1
+ ,2069
+ ,4
+ ,508
+ ,121.8
+ ,2063
+ ,4
+ ,493
+ ,122.9
+ ,2526
+ ,4
+ ,490
+ ,119.9
+ ,2440
+ ,4
+ ,469
+ ,117.4
+ ,2191
+ ,4
+ ,478
+ ,111.6
+ ,2797
+ ,4
+ ,528
+ ,137.8
+ ,2074
+ ,4
+ ,534
+ ,129.3
+ ,2628
+ ,4
+ ,518
+ ,117.4
+ ,2287
+ ,4.18
+ ,506
+ ,119.1
+ ,2146
+ ,4.25
+ ,502
+ ,111.8
+ ,2430
+ ,4.25
+ ,516
+ ,110.8
+ ,2141
+ ,3.97
+ ,528
+ ,105.2
+ ,1827
+ ,3.42
+ ,533
+ ,91.8
+ ,2082
+ ,2.75
+ ,536
+ ,92.4
+ ,1788
+ ,2.31
+ ,537
+ ,68.2
+ ,1743
+ ,2
+ ,524
+ ,73.8
+ ,2245
+ ,1.66
+ ,536
+ ,72.5
+ ,1963
+ ,1.31
+ ,587
+ ,78.1
+ ,1828
+ ,1.09
+ ,597
+ ,73.9
+ ,2527
+ ,1
+ ,581
+ ,78.1
+ ,2114
+ ,1
+ ,564
+ ,82.2
+ ,2424
+ ,1
+ ,558
+ ,81.6)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Bvrg'
+ ,'R'
+ ,'Ump'
+ ,'Tpa')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Bvrg','R','Ump','Tpa'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> main = 'Kendall tau Correlation Plot'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$p.value,2)
+ txt <- format(c(r, 0.123456789), digits=digits)[1]
+ txt <- paste(prefix, txt, sep='')
+ if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
+ text(0.5, 0.5, txt, cex = cex)
+ }
> panel.hist <- function(x, ...)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(usr[1:2], 0, 1.5) )
+ h <- hist(x, plot = FALSE)
+ breaks <- h$breaks; nB <- length(breaks)
+ y <- h$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/www/html/rcomp/tmp/12s4q1260629305.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'tau',1,TRUE)
> a<-table.element(a,'p-value',1,TRUE)
> a<-table.row.end(a)
> n <- length(y[,1])
> n
[1] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = -0.8156, p-value = 0.4147
alternative hypothesis: true tau is not equal to 0 
sample estimates:
        tau 
-0.07548599 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste('tau(',dimnames(t(x))[[2]][i])
+ dum <- paste(dum,',')
+ dum <- paste(dum,dimnames(t(x))[[2]][j])
+ dum <- paste(dum,')')
+ a<-table.element(a,dum,header=TRUE)
+ r <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,r$estimate)
+ a<-table.element(a,r$p.value)
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2fvc21260629305.tab") 
> try(system("convert tmp/12s4q1260629305.ps tmp/12s4q1260629305.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.493   0.216   0.565